Automobile Data Analysis
TeamCore (Khyathi, Nainitha)
Introduction
- Automobile dataset contains details of different cars
- Includes features like engine size, fuel type, and price
- Aim is to analyze how these features affect price
Objective
- Analyze automobile dataset
- Study relationship between engine size and price
- Visualize patterns using graphs
Data Preprocessing
- Assigned column names
- Converted data into numeric format
- Removed missing values
Engine Size vs Price
- Scatter plot shows relationship between engine size and price
- Different colors represent fuel type
Insight:
- Price increases as engine size increases
Regression Analysis
- Linear model applied to data
- Shows trend between engine size and price
Insight:
- Strong positive correlation between variables
Price Distribution
- Histogram shows distribution of car prices
Insight:
- Most cars fall in mid-price range
Fuel Type Comparison
- Data divided based on fuel type
- Compared engine size and price
Insight:
- Variation exists between fuel categories
Overall Insights
- Engine size strongly affects price
- Fuel type influences price variation
- Visualization helps understand trends clearly
Conclusion
- Positive relationship between engine size and price
- Data visualization simplifies analysis
- Useful for predicting car prices